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1.
Some recent advances in measurement error models and methods
Title:
Some recent advances in measurement error models and methods
Author:
Hans Schneeweiss
;
Thomas Augustin
Hans Schneeweiss
;
Thomas Augustin
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Description:
Measurement errors, error in variables, misclassification, efficiency comparison, survival analysis. JEL C13, C20, C24, C25
Measurement errors, error in variables, misclassification, efficiency comparison, survival analysis. JEL C13, C20, C24, C25
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Document Type:
article
URL:
http://hdl.handle.net/10.1007/s101820060229x
http://hdl.handle.net/10.1007/s101820060229x
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RePEc: Research Papers in Economics
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2.
The Effect of Microaggregation Procedures on the Estimation of Linear Models: A Simulation Study
Title:
The Effect of Microaggregation Procedures on the Estimation of Linear Models: A Simulation Study
Author:
Matthias Schmid
;
Hans Schneeweiss
Matthias Schmid
;
Hans Schneeweiss
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Microaggregation is a set of procedures that distort empirical data in order to guarantee their facutal anonymity. At the same time the information content of data sets should not be reduced too much and should still be useful for scientific research. This paper investigates the effect of mircoaggregation on the estimation of a linear regression...
Microaggregation is a set of procedures that distort empirical data in order to guarantee their facutal anonymity. At the same time the information content of data sets should not be reduced too much and should still be useful for scientific research. This paper investigates the effect of mircoaggregation on the estimation of a linear regression by ordinary least squares. It studies, by way of an extensive simulation experiment, the bias of the slope parameter estimator induced by various microaggregation techniques. Some microaggregation procedures lead to consistent estimates while others imply an asymptotic bias for the estimator. ; Microaggregation, disclosure control, simple linear model, bias, consistency
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Document Type:
article
URL:
http://www.wisonet.de/webcgi?START=A60&DOKV_DB=ZECO&DOKV_NO=JFNSJFNS2005090029171414151514122924...
http://search.ebscohost.com/login.aspx?direct=true&db=ecn&AN=0829100&site=ehostlive
http://www.wisonet.de/webcgi?START=A60&DOKV_DB=ZECO&DOKV_NO=JFNSJFNS2005090029171414151514122924...
http://search.ebscohost.com/login.aspx?direct=true&db=ecn&AN=0829100&site=ehostlive
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RePEc: Research Papers in Economics
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3.
Panel Regression with Random Noise
Title:
Panel Regression with Random Noise
Author:
Gerd Ronning
;
Hans Schneeweiss
Gerd Ronning
;
Hans Schneeweiss
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The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct consistent and asymptotically normal estimators. In addition, we find estimates for the asymptotic variances of the...
The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct consistent and asymptotically normal estimators. In addition, we find estimates for the asymptotic variances of these estimators. The paper focuses on multiplicative errors, which are often deliberately added to the data in order to minimize their disclosure risk. They can be analyzed in a similar way as additive errors, but with some important and consequential differences. ; panel regression, multiplicative measurement errors, bias correction, asymptotic variance, disclosure control
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Document Type:
preprint
URL:
http://www.cesifogroup.de/portal/page/portal/DocBase_Content/WP/WPCESifo_Working_Papers/wpcesi...
http://www.cesifogroup.de/portal/page/portal/DocBase_Content/WP/WPCESifo_Working_Papers/wpcesi...
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RePEc: Research Papers in Economics
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4.
Quasi Score is more Efficient than Corrected Score in a Polynomial Measurement Error Model
Title:
Quasi Score is more Efficient than Corrected Score in a Polynomial Measurement Error Model
Author:
Sergiy Shklyar
;
Hans Schneeweiss
;
Alexander Kukush
Sergiy Shklyar
;
Hans Schneeweiss
;
Alexander Kukush
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Description:
Quasi score, Corrected score, Polynomial model, Measurement errors, Efficiency, Structural methods, Functional methods
Quasi score, Corrected score, Polynomial model, Measurement errors, Efficiency, Structural methods, Functional methods
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Document Type:
article
URL:
http://hdl.handle.net/10.1007/s0018400600765
http://hdl.handle.net/10.1007/s0018400600765
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5.
A small sample estimator for a polynomial regression with errors in the variables
Title:
A small sample estimator for a polynomial regression with errors in the variables
Author:
ChiLun Cheng
;
Hans Schneeweiss
;
Markus Thamerus
ChiLun Cheng
;
Hans Schneeweiss
;
Markus Thamerus
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Document Type:
article
URL:
http://www.blackwellsynergy.com/doi/abs/10.1111/14679868.00258
http://www.blackwellsynergy.com/doi/abs/10.1111/14679868.00258
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6.
Estimation of a linear regression under microaggregation with the response variable as a sorting variable
Title:
Estimation of a linear regression under microaggregation with the response variable as a sorting variable
Author:
Matthias Schmid
;
Hans Schneeweiss
;
Helmut Küchenhoff
Matthias Schmid
;
Hans Schneeweiss
;
Helmut Küchenhoff
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Document Type:
article
URL:
http://www.blackwellsynergy.com/doi/abs/10.1111/j.14679574.2007.00366.x
http://www.blackwellsynergy.com/doi/abs/10.1111/j.14679574.2007.00366.x
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7.
Abraham Wald
Open Access
Title:
Abraham Wald
Author:
Hans Schneeweiss
Hans Schneeweiss
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Description:
This paper grew out of a lecture presented at the 54 th Session of the International Statistical Institute in Berlin, August 13 20, 2003, Schneeweiss (2003). It intends not only to outline the eventful life of Abraham Wald (1902 1950) in Austria and in the United States but also to present his extensive scientific work. In particular, the two ...
This paper grew out of a lecture presented at the 54 th Session of the International Statistical Institute in Berlin, August 13 20, 2003, Schneeweiss (2003). It intends not only to outline the eventful life of Abraham Wald (1902 1950) in Austria and in the United States but also to present his extensive scientific work. In particular, the two main subjects, where he earned most of his fame, are outline: Statistical Decision Theory and Sequential Analysis. In addition, emphasis is laid on his contributions to Econometrics and related fields. Abraham Wald is best known, indeed he is famous, for having founded Statistical Decision Theory and also for having developed the theory of sequential sampling. But he also contributed to many other fields of Statistics often giving decisive impulses or even originating new directions of research. In Statistics proper one might mention: asymptotic maximum likelihood theory, nonparametric statistics, tolerance intervals, optimal experimental
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20090616
Source:
http://www.stat.unimuenchen.de/sfb386/papers/dsp/paper439.pdf
http://www.stat.unimuenchen.de/sfb386/papers/dsp/paper439.pdf
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Document Type:
text
Language:
en
DDC:
310 Collections of general statistics
(computed)
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.671
http://www.stat.unimuenchen.de/sfb386/papers/dsp/paper439.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.671
http://www.stat.unimuenchen.de/sfb386/papers/dsp/paper439.pdf
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8.
Some recent advances in measurement error models and methods
Open Access
Title:
Some recent advances in measurement error models and methods
Author:
Hans Schneeweiß
;
Thomas Augustin
Hans Schneeweiß
;
Thomas Augustin
Minimize authors
Description:
A measurement error model is a regression model with (substantial) measurement errors in the variables. Disregarding these measurement errors in estimating the regression parameters results in asymptotically biased estimators. Several methods have been proposed to eliminate, or at least to reduce, this bias, and the relative efficiency and robus...
A measurement error model is a regression model with (substantial) measurement errors in the variables. Disregarding these measurement errors in estimating the regression parameters results in asymptotically biased estimators. Several methods have been proposed to eliminate, or at least to reduce, this bias, and the relative efficiency and robustness of these methods have been compared. The paper gives an account of these endeavors. In another context, when data are of a categorical nature, classification errors play a similar role as measurement errors in continuous data. The paper also reviews some recent advances in this field.
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Year of Publication:
20100916
Source:
http://epub.ub.unimuenchen.de/1821/1/paper_452.pdf
http://epub.ub.unimuenchen.de/1821/1/paper_452.pdf
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Document Type:
text
Language:
en
Subjects:
error in variables ; misclassification ; efficiency comparison ; survival analysis ; JEL C13 ; C20 ; C24 ; C25
error in variables ; misclassification ; efficiency comparison ; survival analysis ; JEL C13 ; C20 ; C24 ; C25
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Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.6829
http://epub.ub.unimuenchen.de/1821/1/paper_452.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.6829
http://epub.ub.unimuenchen.de/1821/1/paper_452.pdf
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9.
Resolving the Ellsberg Paradox by Assuming that People Evaluate Repetitive Sampling
Open Access
Title:
Resolving the Ellsberg Paradox by Assuming that People Evaluate Repetitive Sampling
Author:
Hans Schneeweiss
Hans Schneeweiss
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Description:
this paper, their behavior is irrational in that they misconceive the important, albeit a bit artificial, trait of the experiment that only one draw is to be executed. In the first interpretation people show ambiguity aversion in the second they show risk aversion.
this paper, their behavior is irrational in that they misconceive the important, albeit a bit artificial, trait of the experiment that only one draw is to be executed. In the first interpretation people show ambiguity aversion in the second they show risk aversion.
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20090413
Source:
ftp://ftp.stat.unimuenchen.de/pub/sfb386/paper153.ps.Z
ftp://ftp.stat.unimuenchen.de/pub/sfb386/paper153.ps.Z
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Document Type:
text
Language:
en
Subjects:
Key words ; Ellsberg's paradox ; rational decision making ; Sure Thing Principle ; subjective probabilities
Key words ; Ellsberg's paradox ; rational decision making ; Sure Thing Principle ; subjective probabilities
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Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.1122
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.1122
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10.
Estimating A Polynomial Regression With Measurement Errors In The Structural And In The Functional Case  A Comparison
Open Access
Title:
Estimating A Polynomial Regression With Measurement Errors In The Structural And In The Functional Case  A Comparison
Author:
Hans Schneeweiss
;
Thomas Nittner
Hans Schneeweiss
;
Thomas Nittner
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The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20100916
Source:
ftp://ftp.stat.unimuenchen.de/pub/sfb386/paper197.ps.Z
ftp://ftp.stat.unimuenchen.de/pub/sfb386/paper197.ps.Z
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Document Type:
text
Language:
en
Subjects:
Polynomial regression ; measurement errors ; efficiency ; robustness
Polynomial regression ; measurement errors ; efficiency ; robustness
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Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.1748
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.1748
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(64) Schneeweiss, Andreas
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